227-0455/02 – Traffic Modelling (DM)
Gurantor department | Department of Transport Constructions | Credits | 5 |
Subject guarantor | doc. Ing. Vladislav Křivda, Ph.D. | Subject version guarantor | doc. Ing. Vladislav Křivda, Ph.D. |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 1 | Semester | winter |
| | Study language | English |
Year of introduction | 2019/2020 | Year of cancellation | |
Intended for the faculties | FAST | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The aim of the course is to introduce the fundamental characteristics of traffic flow in road transport, specialized software for modeling traffic flow and applications to traffic engineering documentation. The next aim is to become familiar with the issue of demand modeling in road and urban transport, specialized software, etc. Students also learn the four-stage transport models, models of traffic flow patterns and behavior of traffic.
Teaching methods
Lectures
Tutorials
Summary
Students will learn about the use of outputs traffic modeling for planning the development needs of territory and the procedures in the preparation of a traffic model. Will get knowledge about the use of software systems for traffic modeling. The solution will be the role of traffic modeling in planning processes and the use of software for traffic modeling in relation to urban transport. Students will be acquainted with the modeling traffic for the purposes of traffic management, real-time preparing of scenarios in traffic excesses.
The subject also focuses on the most common currently applied approaches to transport modeling. Introduction deals with traditional approaches to modeling of transport demand, types of models and software products available on the market. The main part of teaching is about four-step transport model and a model based on the theory of traffic flow and behavioralistickými approaches to modeling traffic behavior, decision making in transport and traffic modeling based on population activities. One of the objectives will deepen knowledge in the field of statistical methods applied in the analysis of traffic behavior. Students get an overview of approaches to transport modeling, learn to classify traffic problems and will be able to solve with the help of a suitably chosen methodology. Will provide an overview of approaches to modeling decision-making processes, analysis of transport demand and travel behavior.
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
Continuous elaboration and submission of individually assigned programs in the required deadline and quality.
E-learning
Other requirements
At least 70% attendance at the exercises. Absence, up to a maximum of 30%, must be excused and the apology must be accepted by the teacher (the teacher decides to recognize the reason for the excuse). Tasks assigned on the exercises must be hand in within the dates set by the teacher.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. The first issue of transport modeling, basic definitions and concepts in the field of microscopic simulations
2. Principles speed and composition of traffic flow measurement, incl. demonstrations
3. Issue of movement of the vehicle itself
4. Issue of the movement of traffic flow
5. Principles of measurement of the time delay at the crossroads and problems of pedestrians in traffic
6. Modeling microscopic simulation models in specialized software - the movement of vehicles and pedestrians
7. Modeling microscopic simulation models in specialized software - interaction movement of vehicles and pedestrians
8. Special software for traffic demand modeling, four-stage transport model
9. Traffic surveys for macroscopic traffic models (theory and practical example)
10. Statistical processing of data for macroscopic traffic models (methods)
11. Real traffic survey for traffic model, incl. processing
12. Modelling and presentation of macroscopic model in special simulation software
13. Excursion specialized centers
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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